Technology policy for a world of skew-distributed outcomes

By F. Scherer, Dietmar Harhoff. 2000

596 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/d9a24e64855bcdb9077a837be14be12527ed7a0a

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In Economics and Econometrics

In Management of Technology and Innovation

Citations in the corpus

Special Issue on Design and Development: Recombinant Uncertainty in Technological Search (2001, background): “Although the overall variance of such distributions decreases with an increasing number of trials, firms—and indeed, as Scherer and Harhoff (2000) demonstrate—entire economies cannot anticipate completely stable returns.”
A Typology of ‘Innovation Districts’: What it Means for Regional Resilience (2010, background): “A random sampling of all US patents would result in large numbers of economically unimportant patents ( Scherer and Harhoff 2000 ).”
Environmental policy stringency and technological innovation: evidence from survey data and patent counts (2012, background): “…AWWPATi,t ¼ exp 1POLSTRINGi,t þ 2TOTALPATi,t þ t þ "i,t 9 See, for example, Acs and Audretsch (1987), Kraft (1987), Gerosky (1990), Syrneonidis (1996), Scherer and Harhoff (2000) and Cricscuolo et al. (2005), Ulku (2007) is one of the few studies which includes a sample of both OECD and…”
Inventors and invention processes in Europe: Results from the PatVal-EU survey (2007, background): “Since then, Scherer, Harhoff and Vopel conducted a patent survey in the US and Germany to explore the distribution of the economic value of patents (Scherer and Harhoff, 2000; Harhoff et al., 2003b).”
R&D and the Patent Premium (2008, unknown): “Also note that υij can have a skewed distribution, as observed by Scherer and Harhoff (2000).”
The size distribution of innovations revisited: an application of extreme value statistics to citation and value measures of patent significance (2007, background): “It has been recognized in the literature for some time that the highly skewed and possibly fat-tailed distribution of returns from R&D projects poses a tricky problem for the management of innovation (see, e.g., Scherer and Harhoff, 2000).”